Multi-Stage Mobile BESS Operational Framework to Residential Customers in Planned Outages

Abstract

Battery Energy Storage Systems (BESSs) play an important role in modern energy systems. At present, stationary BESSs have found wide applicability in real-word applications, while there is a growing trend in exploiting the use of mobile BESSs (MBESSs) for serving energy demands at geographical locations that can vary over time. This paper proposes a comprehensive decision-making framework for a MBESS that dispatches multiple carriers to deliver a number of batteries to serve residential houses in a planned grid outage event. The proposed framework includes model representations capable of addressing the following three scenarios: (1) before the start of the outage -during this scenario, the scheduling of the battery delivery to the houses considers the typical energy operations and aims at exploiting the surplus renewable energy for the charging of the batteries; (2) during the outage period -during this scenario, the battery relocation is optimized to minimize the amount of energy demand affected by the outage by enabling the carriers to dynamically transport the batteries and to serve different houses; and (3) after the outage -in this scenario, an optimal path selection model enables the carriers to recycle the batteries from the houses to the MBESS station. Computational approaches are developed to solve the above three models and extensive numerical simulations are conducted to validate the effectiveness of the proposed framework.